Speaker
Description
Wettability, quantified by the contact angle, is a key property of porous media influencing the capillary pressures, the fluid–solid interfacial area, and eventually reaction and mass transfer processes. Recent advances in imaging enable the direct extraction of contact angles from 3D image data. However, available extraction methods often produce non-physical extreme angles that obscure the true statistics. We suspect that the implementation of physical constrains can filter out the errors accompanied by voxelization and image noise.
We propose a novel geometrical to physical compliance extraction based on the X-ray imaging (CT) experiments. This model is validated against an ideal geometrical model and compared with reported methods on the same specimens under distinct wettability conditions.
We have demonstrated that our algorithm yields a more physically meaningful and robust measurement of the distribution of contact angles. Each extracted angle matches the ideal geometrical model with a pointwise deviation of ≤ 2°. In real porous systems, our physics-constrained procedure preserves the expected wettability ordering across different conditions while markedly suppressing spurious extreme tails and yielding a tighter central peak, thereby indicating effective removal of non-physical artifacts induced by voxelization and segmentation. We further visualize spatially resolved contact angle fields, revealing the 3D wettability heterogeneity. Moreover, size-invariance tests across multiple subvolume scales demonstrate stable statistics within certainty bounds, supporting seamless upscaling to continuum descriptions and providing robust inputs and potential value for modeling capillarity-driven transport, interfacial area evolution, and interface-controlled mass transfer and reactions in engineered porous systems.
| Country | China |
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